neilliang90 / Sadam
☆14Updated 5 years ago
Alternatives and similar repositories for Sadam:
Users that are interested in Sadam are comparing it to the libraries listed below
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆43Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 3 years ago
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 5 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆23Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- A pytorch implementation of https://arxiv.org/abs/1904.09925☆16Updated 5 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆30Updated 3 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 5 years ago
- ☆23Updated 6 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 4 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 2 years ago
- ☆41Updated 3 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆16Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- A discrete sequential VAE☆38Updated 4 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Piecewise Linear Functions (PWL) implementation in PyTorch☆50Updated 2 years ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Updated 3 years ago
- ☆15Updated 4 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Layerwise Batch Entropy Regularization☆22Updated 2 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Updated 4 years ago